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Position: PhD candidate in Channel modelling for mmWave/THz active sensing systems
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: High-resolution sensors are becoming integral in applications ranging from automotive safety and autonomous driving to health monitoring of infants and the elderly. The rapid development of high-performance, low-cost integrated multi-input, multi-output (MIMO) radar systems in the mmWave spectrum that can be connected and collaborate with each other provides multiview perspective that can be led to an image like reconstruction of the surroundings. In a sensor network, where the information from the sensed data depends on the sensor placement, an optimal sensor placement is non-trivial. The pre-requisites for such a design are radio propagation channel modelling (target, clutter, multipath, interference, polarization) and associated parameter estimation which necessitates accurate channel modelling and efficient implementation. This PhD study aims to focus on providing analytical channel modelling and efficient simulation of time-dynamic processes, especially on mathematical modelling and simulation of; Propagation channel: extended targets/objects/clutter, multipath, effects of multiple sensors, and interference using ray/beam-tracing approaches; Sensor imperfections: mutual coupling, non-linearity, offsets between RF chains, imperfections in the baseband signal generation at the receiver of every sensor antennas; Development: developing the interfaces for integrating open source game engines/software with simulator compatible with HPC
Requirements: Qualification: The candidate should possess (or be in the process of completing) a master degree or equivalent in Electrical/Electronic Engineering, Computer Science or Applied Mathematics or Physics with electromagnetic background. Experience: The ideal candidate should have good theoretical background in a number of the following topics: Channel modelling and Statistical Signal Processing; Optimization methodologies with application to Radar Systems; Signal processing techniques; Electromagnetic theory; Development skills in MATLAB is required and exposure to HPC platforms, latest radar technology, optimization techniques and Electromagnetic simulations are desirable. Language Skills: Fluent written and verbal communication skills in English are required
   
Text: UOL03945 31-Dec-2099 About the SnT SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. As part of the collaboration, SnT and IEE are involved in fundamental and applied aspects of distributed sensing. In this context, a new research project funded by the Luxembourg government (FNR) on `` M odelling a nd S imula t ion of Compl e x R adar S cenes’’ has been awarded recently to pursue channel modelling which is central to sensing system. This modelling will be exploiting the computational power of the state-of-the-art 2 Petaflop High Performance Computing (HPC) at the University and the EuroHPC supercomputer in Luxembourg, MeluXina. The advertised position relates to this project and is planned to start in July 2021. For further information, you may check: http://wwwen.uni.lu/snt/research/sigcom https://radarmimo.com The SIGCOM research group is in a unique position towards realizing the objectives of the project having exposure to radar signal processing through ongoing research projects, evolution of communication standards through participation and contribution as well as experience with prototype chip sets from the test-bench development activity. We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place! Your Role High-resolution sensors are becoming integral in applications ranging from automotive safety and autonomous driving to health monitoring of infants and the elderly. The rapid development of high-performance, low-cost integrated multi-input, multi-output (MIMO) radar systems in the mmWave spectrum that can be connected and collaborate with each other provides multiview perspective that can be led to an image like reconstruction of the surroundings. In a sensor network, where the information from the sensed data depends on the sensor placement, an optimal sensor placement is non-trivial. The pre-requisites for such a design are radio propagation channel modelling (target, clutter, multipath, interference, polarization) and associated parameter estimation which necessitates accurate channel modelling and efficient implementation. This PhD study aims to focus on providing analytical channel modelling and efficient simulation of time-dynamic processes, especially on mathematical modelling and simulation of Propagation channel: extended targets/ objects/ clutter, multipath, effects of multiple sensors, and interference using ray/beam-tracing approaches Sensor imperfections: mutual coupling, non-linearity, offsets between RF chains, imperfections in the baseband signal generation at the receiver of every sensor antennas Development: developing the interfaces for integrating open source game engines/software with simulator compatible with HPC Your Profile Qualification : The candidate should possess (or be in the process of completing) a master degree or equivalent in Electrical/Electronic Engineering, Computer Science or Applied Mathematics or Physics with electromagnetic background. Experience : The ideal candidate should have good theoretical background in a number of the following topics: Channel modelling and Statistical Signal Processing Optimization methodologies with application to Radar Systems Signal processing techniques Electromagnetic theory Development skills in MATLAB is required and exposure to HPC platforms, latest radar technology, optimization techniques and Electromagnetic simulations are desirable. Language Skills : Fluent written and verbal communication skills in English are required. Here’s what awaits you at SnT A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners Multiple funding sources for your ideas . The University supports researchers to acquire funding from national, European and private sources Competitive salary package . The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating Be part of a multicultural family . At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more But wait, there’s more! Complete picture of the perks we offer Discover our Partnership Programme Download the brochure: Why choose SnT for your PhD? Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities. In Short Contract Type: Fixed Term Contract 36 Month - extendable up to 48 months if required Work Hours: Full Time 40.0 Hours per Week Location: Kirchberg Internal Title: Doctoral Researcher Employee and student status Job Reference: UOL03945 Further Information Application : Application should be sent online, in English and should include: Full CV, including list of publications, bachelor/master thesis and names (and contact information including email addresses) of references Transcript of all modules and results from university-level courses taken Research statement and topics of particular interest to the candidate (300 words) All qualified individuals are encouraged to apply. Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered. The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff. About the University of Luxembourg The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character . It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. The University`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society. Further information For further information, please contact us at Mohammad.Alaee@uni.lu or Bhavani.Shankar@uni.lu
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